Mark van de Wiel

Data drives most of his statistical omics research: to provide a generic, robust solution for a given study, and one likely solves similar problems for many studies. His research interests cover a wide spectrum, including differential expression (multiple) testing, network estimation and omics integration modeling. His main fascination nowadays is omics-based clinical prediction and classification, by either statistical or machine learners. Here, he focusses on developing methods to improve predictive performance and biomarker selection by structural use of complementary data (co-data), e.g. from external studies or data bases. They directly apply and test such methods in a number of collaborative projects on cancer diagnostics and prognostics.


Linked shrinkage to improve estimation of interaction effects in regression models

Mark A. van de Wiel , Matteo Amestoy and Jeroen Hoogland
Epidemiologic Methods (2024)

Exposome-Wide Association Study of Body Mass Index Using a Novel Meta-Analytical Approach for Random Forest Models

Haykanush Ohanyan , Mark van de Wiel, Lützen Portengen, Alfred Wagtendonk, Nicolette R. den Braver, Trynke R. de Jong, Monique Verschuren, Katja van den Hurk, Karien Stronks, Eric Moll van Charante, Natasja M. van Schoor, Coen D.A. Stehouwer, Anke Wesselius, Annemarie Koster, Margreet ten Have, Brenda W.J.H. Penninx, Marieke F. van Wier, Irina Motoc, Albertine J. Oldehinkel, Gonneke Willemsen, Dorret I. Boomsma, Mariëlle A. Beenackers, Anke Huss, Martin van Boxtel, Gerard Hoek, Joline W.J. Beulens, Roel Vermeulen, and Jeroen Lakerveld
Environmental Health Perspectives, Volume 132, Issue 6 (2024)

Mark van de Wiel

Contact information

Amsterdam University Medical Center, location VUmc, Amsterdam, NL

Dep. Epidemiology & Biostatistics


Areas of Expertise

Bioinformatics Epidemiology

Decoding the exposome

Decoding the exposome

The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...

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